Presentation 2008-11-27
Automatic Segmentation of Human Motion Patterns using Predictor RNN
Tong NIU, Yoshio IWAI, Masahiko YACHIDA,
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Abstract(in English) Recently, diversity of crimes has become a major social problem, calling for reinforcements in security systems. The objective of the author's research is to create a system that automatically detects unknown behaviors as exceptions. Such systems require retraining of the whole system when supplementing a new behavior into the model. In this research, the authors aim to segment the behaviors, based on predictability of the recurrent neural network, for retraining only the sub-model for supplementation. In this paper, the authors present the results of the segmentation experiment using proposed method.
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Paper # PRMU2008-120,MVE2008-69
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Committee MVE
Conference Date 2008/11/20(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
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Title (in English) Automatic Segmentation of Human Motion Patterns using Predictor RNN
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1st Author's Name Tong NIU
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Yoshio IWAI
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
3rd Author's Name Masahiko YACHIDA
3rd Author's Affiliation Faculty of Information Science and Technology, Osaka Institute of Technology
Date 2008-11-27
Paper # PRMU2008-120,MVE2008-69
Volume (vol) vol.108
Number (no) 328
Page pp.pp.-
#Pages 6
Date of Issue